Probability and Random Processes with Applications to Signal Processing

Henry Stark

ISBN 10: 0273752286 / ISBN 13: 9780273752288

Published by Pearson Jun 2024, 2024

About this Item

Neuware -Probability, Statistics, and Random Processes for Engineers, 4e is a comprehensive treatment of probability and random processes that, more than any other available source, combines rigor with accessibility. Beginning with the fundamentals of probability theory and requiring only college-level calculus, the book develops all the tools needed to understand more advanced topics such as random sequences, continuous-time random processes, and statistical signal processing. The book progresses at a leisurely pace, never assuming more knowledge than contained in the material already covered. Rigor is established by developing all results from the basic axioms and carefully defining and discussing such advanced notions as stochastic convergence, stochastic integrals and resolution of stochastic processes. 704 pp. Englisch.

Seller Inventory # 9780273752288

Bibliographic Details

• Title: Probability and Random Processes with Applications to Signal Processing
• Publisher: Pearson Jun 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 0273752286
• ISBN 13: 9780273752288
• Binding: Taschenbuch
• Edition: 4th Edition
• Condition: Neu

About this title

Synopsis

For courses in Probability and Random Processes.

Probability, Statistics, and Random Processes for Engineers, 4e is a comprehensive treatment of probability and random processes that, more than any other available source, combines rigor with accessibility. Beginning with the fundamentals of probability theory and requiring only college-level calculus, the book develops all the tools needed to understand more advanced topics such as random sequences, continuous-time random processes, and statistical signal processing. The book progresses at a leisurely pace, never assuming more knowledge than contained in the material already covered. Rigor is established by developing all results from the basic axioms and carefully defining and discussing such advanced notions as stochastic convergence, stochastic integrals and resolution of stochastic processes.